Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...

This AI engineer salary guide explains which factors influence AI engineer salaries, and how much AI engineers typically earn ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

Abstract: In this letter, we introduce the first spiking-based network optimized for synthetic aperture radar (SAR) ship detection and compare its performance with conventional neural networks (CNNs).

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Abstract: Carrier phase recovery (CPR) is crucial in coherent optical communication, ensuring reliable data transmission. This letter proposes a novel artificial neural network (ANN)- based CPR ...

Cybersecurity researchers have flagged a Ukrainian IP network for engaging in massive brute-force and password spraying campaigns targeting SSL VPN and RDP devices between June and July 2025. The ...